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// Copyright (c) TensorStack. All rights reserved.
// Licensed under the Apache 2.0 License.
using System;
using System.Drawing;
using System.Drawing.Imaging;
using System.Threading.Tasks;
using TensorStack.Common.Tensor;
namespace TensorStack.Image
{
public static class Extensions
{
/// <summary>
/// Converts ImageTensor to Bitmap.
/// </summary>
/// <param name="imageTensor">The image tensor.</param>
/// <returns>Bitmap.</returns>
public static Bitmap ToImage(this ImageTensor imageTensor)
{
return imageTensor.ToBitmapImage();
}
/// <summary>
/// Converts ImageTensorBase to ImageTensor.
/// </summary>
/// <param name="imageTensor">The image tensor.</param>
/// <returns>ImageTensor.</returns>
public static ImageInput ToImageInput(this ImageTensor imageTensor)
{
return new ImageInput(imageTensor);
}
/// <summary>
/// Saves the ImageTensor.
/// </summary>
/// <param name="imageTensor">The image tensor.</param>
/// <param name="filename">The filename.</param>
/// <returns>Task.</returns>
public static Task SaveAsync(this ImageTensor imageTensor, string filename)
{
return Task.Run(() =>
{
using (var image = imageTensor.ToImageInput())
{
image.Save(filename);
}
});
}
/// <summary>
/// Saves the ImageInput.
/// </summary>
/// <param name="imageTensor">The image tensor.</param>
/// <param name="filename">The filename.</param>
/// <returns>Task.</returns>
public static Task SaveAsync(this ImageInput imageTensor, string filename)
{
return Task.Run(() => imageTensor.Save(filename));
}
/// <summary>
/// Converts Bitmap to Tensor.
/// </summary>
/// <param name="bitmap">The bitmap.</param>
/// <returns>Tensor<System.Single>.</returns>
internal static ImageTensor ToTensor(this Bitmap bitmap)
{
var width = bitmap.Width;
var height = bitmap.Height;
bitmap.ConvertFormat(PixelFormat.Format32bppArgb);
var tensor = new ImageTensor(new[] { 1, 4, height, width });
var bitmapData = bitmap.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadOnly, PixelFormat.Format32bppArgb);
unsafe
{
for (int y = 0; y < height; y++)
{
byte* row = (byte*)bitmapData.Scan0 + (y * bitmapData.Stride);
for (int x = 0; x < width; x++)
{
tensor[0, 3, y, x] = GetFloatValue(row[x * 4 + 3]); // A
tensor[0, 0, y, x] = GetFloatValue(row[x * 4 + 2]); // R
tensor[0, 1, y, x] = GetFloatValue(row[x * 4 + 1]); // G
tensor[0, 2, y, x] = GetFloatValue(row[x * 4 + 0]); // B
}
}
bitmap.UnlockBits(bitmapData);
}
return tensor;
}
/// <summary>
/// Converts Tensor to Bitmap.
/// </summary>
/// <param name="tensor">The tensor.</param>
/// <returns>Bitmap.</returns>
internal static Bitmap ToBitmapImage(this ImageTensor tensor)
{
var height = tensor.Dimensions[2];
var width = tensor.Dimensions[3];
var channels = tensor.Dimensions[1];
var bitmap = new Bitmap(width, height, PixelFormat.Format32bppArgb);
var bitmapData = bitmap.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.WriteOnly, PixelFormat.Format32bppArgb);
unsafe
{
for (int y = 0; y < height; y++)
{
byte* row = (byte*)bitmapData.Scan0 + (y * bitmapData.Stride);
for (int x = 0; x < width; x++)
{
row[x * 4 + 3] = channels == 4 ? GetByteValue(tensor[0, 3, y, x]) : byte.MaxValue; // A
row[x * 4 + 2] = GetByteValue(tensor[0, 0, y, x]); // R
row[x * 4 + 1] = GetByteValue(tensor[0, 1, y, x]); // G
row[x * 4 + 0] = GetByteValue(tensor[0, 2, y, x]); // B
}
}
bitmap.UnlockBits(bitmapData);
}
return bitmap;
}
/// <summary>
/// Gets the normalized float value.
/// </summary>
/// <param name="value">The value.</param>
private static float GetFloatValue(byte value)
{
return (value / 255.0f - 0.5f) * 2.0f;
}
/// <summary>
/// Gets the normalized byte value.
/// </summary>
/// <param name="value">The value.</param>
private static byte GetByteValue(float value)
{
return (byte)Math.Clamp((value / 2f + 0.5f) * 255.0f, 0, 255);
}
}
}